Edit model card

git-base-pokemon

This model is a fine-tuned version of microsoft/git-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0372
  • Wer Score: 2.1641

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 50

Training results

Training Loss Epoch Step Validation Loss Wer Score
7.3017 4.17 50 4.4850 20.9419
2.3174 8.33 100 0.4334 8.6357
0.1315 12.5 150 0.0334 0.4225
0.0175 16.67 200 0.0309 1.1072
0.0057 20.83 250 0.0330 2.3527
0.0024 25.0 300 0.0351 2.5284
0.0017 29.17 350 0.0358 2.4496
0.0014 33.33 400 0.0364 2.3941
0.0012 37.5 450 0.0367 2.1628
0.0011 41.67 500 0.0371 2.2390
0.0011 45.83 550 0.0372 2.1447
0.001 50.0 600 0.0372 2.1641

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3
Downloads last month
1

Finetuned from